{"id":8,"date":"2015-04-08T11:14:00","date_gmt":"2015-04-08T09:14:00","guid":{"rendered":"http:\/\/people.unipi.it\/cloner\/?page_id=8"},"modified":"2020-04-30T18:03:14","modified_gmt":"2020-04-30T16:03:14","slug":"pubblicazioni","status":"publish","type":"page","link":"https:\/\/people.unipi.it\/gaia_bertarelli\/pubblicazioni\/","title":{"rendered":"Publications"},"content":{"rendered":"

Papers in Peer Reviewed International journals<\/strong><\/p>\n

1. Pratesi, M., Quattrociocchi, L., Bertarelli, G.<\/strong>, Gemignani, A. & Giusti, C. (2020). Spatial Distribution of Multidimensional Educational Poverty in Italy using Small Area Estimation. Social Indicators Research<\/em>. https:\/\/doi.org\/10.1007\/s11205-020-02328-5(A-GEV for SECS-S\/01).
\n2. Bertarelli, G.<\/strong>, Chambers, R. & Salvati, N. (2020).Outlier robust small domain estimation via bias correction and robust bootstrapping. Statistical Methods & Applications<\/em>. https: \/\/doi.org\/10.1007\/s10260-020-00514-w(A-GEV for SECS-S\/01).
\n3. Bertarelli, G.<\/strong>, Ranalli, M. G., Bartolucci, F., D\u2019Al\u00f2, M. & Solari, F.(2018). Small area estimation for unemployment using latent Markov models. Survey Methodology<\/em>, 44(2),167-192. (A-GEV until 2018 for SECS-S\/01)
\n4. Chiavarini, M., Bertarelli, G.,<\/strong> Minelli, L., & Fabiani, R. (2017). Dietary intake of meat cooking related mutagens (HCAs) and risk of colorectal adenoma and cancer: A systematic review and meta analysis. Nutrients,<\/em> 9(5), 514. https:\/\/doi.org\/10.3390\/nu9050514.
\n5. Fabiani, R.; Minelli, L.; Bertarelli, G<\/strong>.; Bacci, S. (2016). A Western Dietary Pattern Increases Prostate Cancer Risk: A Systematic Review and Meta-Analysis. Nutrients<\/em>, 8(10): 626. https: \/\/doi.org\/10.3390\/nu8100626.
\n6. Pietrantonio, F.; Biondani, P.; Milione, M.; Melotti, F.; A.; Fantini, F.; Bertarelli, G.<\/strong>; et al. (2013). Lack of Bax expression is associated with irinotecan-based treatmentactivity in advanced colorectal cancer patients. Clinical and Translational Oncology<\/em>, 15(7): 582-586. https:\/\/doi.org\/10.1007\/s12094-012-0971-3.
\n7. Pietrantonio, F.; Biondani, P.; Ciurlia, E.; Fanetti, G.; Tessari, A.; Bertarelli, G.<\/strong>; et al. (2013). Role of BAX for outcome prediction in gastrointestinal malignancies. Medical Oncology<\/em>, 30(3):1-7. https:\/\/doi.org\/10.1007\/s12032-013-0610-z.
\n8. Bampo, C.; Alessi, A.; Fantini, S.; Bertarelli, G.<\/strong>; et al. (2013). Is the standardized uptake value of FDG-PET\/CT predictive of pathological complete response in locally advanced rectal cancer treated with capecitabinebased neoadjuvant chemoradiation?. Oncology<\/em>, 84(4):191-199.
\nhttps:\/\/doi.org\/10.1159\/000345601.
\n9. Crescenti, A.; Borghi, G.; Bertarelli, G.<\/strong>; et al. (2011). Intraoperative used of tranexamic acid to reduce transfusion rate in patients undergoing radical retropubic prostatectomy: double blind, randomised, placebo controlled trial, BMJ<\/em>, 343, d5701. doi:https:\/\/doi.org\/10.1136\/bmj.d5701. (A-GEV until 2018 for SECS-S\/01).<\/p>\n

Chapters in Books (peer-reviewed)<\/strong><\/p>\n

1. Bertarelli, G.<\/strong>, D\u2019Agostino, A. , Giusti, C & Pratesi, M. Measuring Educational Poverty in Italy: a Multidimensional and Fuzzy Approach. Accepted to be published in Fuzzy Multidimensional Approach in Social Science<\/em>. Routledge, Taylor & Francis.
\n2. Bertarelli, G.<\/strong>, Schirripa Spagnolo, F., Salvati, N. & Pratesi, M. Small area estimation of agricultural data. Accepted to be published in Spatial Econometric Methods in Agricultural Economics Using R<\/em>, CRC press.
\n3. Crippa, F., Mecatti, F. & Bertarelli, G<\/strong>. Modeling Gender (im)balance in the Big Data era: an approach with latent variables. Accepted to be published (Publication scheduled for September.) in Pathways between Social Science and Computational Social Science: Theories, Methods and Interpretations<\/em> Springer Volume in \u201cComputational Social Science\u201d.
\n4. Bertarelli, G.<\/strong>, Crippa, F., & Mecatti, F. (2018). Measuring Latent Variables in Space and\/or Time: A Gender Statistics Exercise. In Demography and Health Issues: Population Aging, Mortality and Data Analysis<\/em> (pp. 133-142). Springer Volume in \u201cDemographic Methods and Health Issues\u201d.
\n5. Bertarelli, G.<\/strong>, Corbella, A., Di Iorio, J., Gorshechnikova, A. & Scott, M. (2018). Curve Clustering for Brain Functional Activity and Synchronization. In: Canale A., Durante D., Paci L., Scarpa B. (eds) Studies in Neural Data Science<\/em>. START UP RESEARCH 2017. Springer Proceedings in Mathematics & Statistics, vol 257. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-030-00039-4_5<\/p>\n

National and International Proceedings (peer-reviewed)<\/strong><\/p>\n

1. Bertarelli, G.<\/strong>, Crippa, F., & Mecatti, F. (2017). A latent Markov model approach for measuring national gender inequality. In SIS 2017 Statistics and Data Science: new challenges, new generations<\/em> June 28-30 (pp. 157-160). Firenze University Press. e-ISBN:978-88-6453-521-0.
\n2. Bertarelli, G.<\/strong>, Crippa, F., & Mecatti, F. (2017). Measuring Latent Variables in Space and\/or Time. A Latent Markov Model Approach. In 17th Applied Stochastic Models and Data Analysis International Conference<\/em> 6-9 June. ISAST: International Society for the Advancement of Science and Technology.
\n3. Zambon, M.; Bertarelli, G.<\/strong>; Landoni, G.; et al.(2012). Risk factor for the development of ventilator associated pneumonia after cardiac surgery, Intensive Care Medicine<\/em>, 38:233-239.<\/p>\n","protected":false},"excerpt":{"rendered":"

Papers in Peer Reviewed International journals 1. Pratesi, M., Quattrociocchi, L., Bertarelli, G., Gemignani, A. & Giusti, C. (2020). Spatial…<\/p>\n

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